Job Summary
We are seeking a highly experienced Power BI Technical Architect / Microsoft Fabric Architect to lead the design, modernization, and delivery of enterprise-grade analytics solutions. This role requires strong hands-on expertise in Power BI, Microsoft Fabric, semantic modeling, DAX, SQL, data architecture, performance optimization, and governance.
The ideal candidate will act as a technical authority who can translate business requirements into scalable BI architecture, define best practices, guide development teams, and ensure analytics platforms are secure, reliable, performant, and aligned with enterprise data strategy.
Key Responsibilities
Architecture & Solution Design
Own end-to-end architecture for Power BI and Microsoft Fabric-based analytics solutions across enterprise environments.
Design scalable semantic models using dimensional modeling, star schema, reusable datasets, calculation groups, and enterprise-grade modeling standards.
Define architecture blueprints, HLDs, LLDs, data model designs, workspace structures, deployment patterns, and governance frameworks.
Evaluate and recommend the right storage and connectivity patterns, including Import, DirectQuery, Direct Lake, Composite Models, Aggregations, and incremental refresh.
Lead Microsoft Fabric adoption across Lakehouse, Warehouse, OneLake, Direct Lake, Dataflows Gen2, Pipelines, Notebooks, and Power BI semantic models.
Ensure all BI solutions meet enterprise standards for performance, scalability, security, data quality, maintainability, and compliance.
Power BI, Fabric & Data Engineering Expertise
Build and optimize complex Power BI reports, dashboards, paginated reports, semantic models, DAX measures, Power Query transformations, and dataflows.
Develop efficient DAX calculations, optimize model performance, troubleshoot refresh issues, and improve report responsiveness using best practice tuning techniques.
Work with SQL databases, data warehouses, lake houses, APIs, cloud data platforms, and enterprise data sources to deliver reliable analytics solutions.
Design medallion-style analytical layers and curated reporting datasets for downstream consumption by Power BI and business users.
Implement security concepts including Row-Level Security, Object-Level Security, workspace access strategy, sensitivity labels, and data governance controls.
Leadership, Governance & Delivery
Partner with business stakeholders, data engineers, application teams, and leadership to convert business needs into robust analytical solutions.
Mentor developers and analysts on Power BI, DAX, modeling, Fabric capabilities, performance optimization, and governance best practices.
Skill Requirements
10+ years of experience in Business Intelligence, Data Analytics, Data Warehousing, or Data Platform delivery, with strong enterprise implementation exposure.
7+ years of hands-on Power BI experience, including semantic modeling, DAX, Power Query, Power BI Service, deployment pipelines, and performance tuning.
Practical experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Direct Lake, Dataflows Gen2, Pipelines, and Fabric workspace design.
Strong SQL skills with experience in relational databases, data warehouses, lakehouse architecture, ETL/ELT pipelines, and large-volume data environments.
Strong understanding of governance, security, access management, data lineage, quality controls, and enterprise BI lifecycle management.
Preferred / Advanced Skills:
Exposure to Azure Data Factory, Synapse, Databricks, Spark, Python, REST APIs, Power BI automation, Power Apps, and Power Automate integration.
Experience with Power BI Copilot, Microsoft Fabric Copilot, GenAI-assisted analytics, responsible AI practices, and automation-led development acceleration
Other Requirements
Preferred Certifications
• Microsoft Certified: Power BI Data Analyst (PL 300)
• Microsoft Certified: Azure Data Engineer / Solutions Architect
• Microsoft Fabric certifications (preferred)